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Lower Bounds for Subexponential Parameterized Complexity of Minimum Fill-in and Related Problems

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Shows concrete conditional lower bounds for graph completion problems by tracing reductions from Gap 3SAT through Gap Max Cut and Optimum Linear Arrangement into chain completion and then into chordal/interval completions using a subdivide gadget and a chain-of-expanders to keep degree bounded. Under ETH it rules out 2^{o(√n / polylog n)} algorithms for sparse chordal completion, yielding roughly k^{1/4} lower bounds under ETH, while under a Gap Min‑Bisection hypothesis the paper proves no 2^{o(√k)} algorithms, using PCPs, the sparsification/specification lemma and careful expander constructions.

AI-written summary · about

  1. 0:00Intro
  2. 0:31Motivation
  3. 2:50The square root phenomenon
  4. 6:11Known reductions
  5. 7:50OPTIMUM LINEAR ARRANGEMENT
  6. 10:31Reduction MAXCUT-OLA
  7. 14:08Hardness of GAP MAXCUT
  8. 17:35Reduction of Yannakakis
  9. 22:36Issues
  10. 23:28Hypothesis
  11. 25:29Reduction MINBISECTION OLA
  12. 27:13Conclusions
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